环境科学最新文献

{"title":"[Cover Crop-mediated Regulation of Rhizosphere Microecology and Mechanism of Alleviating Continuous Cropping Obstacles in <i>Lycium barbarum</i> L.]","authors":"Ya-Ran Ma, Xiong-Xiong Nan, Li-Zhen Zhu, Ya-Miao Gao, Fang Wang","doi":"10.13227/j.hjkx.202507214","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507214","url":null,"abstract":"<p><p>To address soil degradation caused by long-term continuous cropping in major <i>Lycium barbarum</i> L. （wolfberry） producing regions of Ningxia， this study established an intercropping system of L. <i>barbarum</i> and <i>Raphanus sativus</i> L. var. <i>longipinnatus</i> （oilseed radish）. A 4-year field experiment combined with high-throughput sequencing technology was used to systematically analyze the regulatory effects of cover cropping on soil microbial diversity， symbiotic network stability， and wolfberry fruit quality. The results showed that： ① Cover cropping significantly increased the bacterial Shannon index and the fungal Ace， Sobs， and Chao1 indices （<i>P</i><0.05） and induced significant differentiation in the microbial community structure （<i>P</i><0.05）. ② Under cover cropping， the relative abundances of bacterial phyla （Proteobacteria， Actinobacteriota， Chloroflexi， and Acidobacteriota） and the fungal phylum Basidiomycota significantly increased. ③ Cover cropping significantly increased soil available phosphorus （AP）， available nitrogen （AN）， and microbial biomass carbon （MBC） by 29.89%， 74.33%， and 23.60%， respectively， while significantly decreasing soil pH by 4.31% （<i>P</i><0.05）； pH and available potassium （AK） were identified as key driving factors for the bacterial community. ④ FAPROTAX functional prediction revealed that bacterial functions such as chemoheterotrophy and urea hydrolysis were significantly enhanced under cover cropping； in contrast， FUNGuild analysis indicated a significant reduction in the functional abundance of plant-pathogenic fungi in the cover cropping group. ⑤ Symbiotic network analysis demonstrated that cover cropping promoted cooperative interactions among bacterial species and enhanced the interaction complexity and network stability of the fungal community. ⑥ This intercropping system significantly improved the single-fruit weight and yield of wolfberry by 5.66% and 3.35%， respectively （<i>P</i><0.05）. Collectively， the findings of this study provide critical theoretical support for the ecological mitigation of continuous cropping obstacles and the sustainable， high-yield cultivation of <i>L. barbarum.</i></p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6491-6503"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Seasonal Response Features of Microbial Community Structure for Nitrogen Transformation in Inland Lakes on the Qinghai-Xizang Plateau].","authors":"Dan-Dan Wang, Yan-Qin Xie, Yue-Fei Huang, Hai-Chao Jia","doi":"10.13227/j.hjkx.202507365","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507365","url":null,"abstract":"<p><p>Studying the nitrogen transformation characteristics of microbial communities in the inland lakes of the Qinghai-Xizang Plateau （QXP） is of great significance for a deeper understanding of the nitrogen budget balance and biogeochemical cycling in the regional lake ecosystems. Based on metagenomic sequencing technology， this study constructed a non-redundant gene library of nitrogen-transforming microorganisms and conducted multivariate statistical analysis to explore the characteristics and assembly mechanisms of nitrogen-transforming microbial communities in inland lakes on the QXP. The results indicate： ① Bacteria were the main group of nitrogen transformation microbes in the plateau inland lakes. The dominant bacterial phylum involved in nitrogen conversion both in summer and winter was Pseudomonadota， with an average proportion of 39.35% and 35.09% at different sampling sites in different seasons， respectively. The dominant bacterial genera in summer and winter were <i>Candida_planktophila</i> （the average proportion of different sampling sites was 4.04%） and unclassified_<i>c_Actinomycetes</i> （the average proportion of different sampling sites was 7.91%）. ② Salinity and dissolved oxygen were the most significant environmental factors affecting the microbial community structure of nitrogen transformation in different seasons. There were differences in the process of nitrogen transformation microbial community assembly in different seasons and different sampling lakes. ③ There were differences in the abundance of functional genes of nitrogen transformation microbes in different seasons， and denitrification was the most widely involved process of microbial communities in the plateau inland lakes in different seasons. The environmental factors driving the abundance of nitrogen transformation genes in different seasons were altitude， water temperature， total dissolved solids， and salinity. Overall， there was significant spatiotemporal heterogeneity in the assembly process of nitrogen transformation microbial communities in the plateau inland lakes. The results of this study can provide data support for the understanding of nitrogen-transforming microbes in the plateau inland lake ecosystem and provide a theoretical basis for lake water ecological management and regional greenhouse gas emissions.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6558-6568"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Urban Renewal-ecological Resilience Spatial Correlation Network and Spillover Effects in Central Plains Urban Agglomeration].","authors":"Shan-Shan Guo, Ke-Ke Zhang, Jun-Chang Huang, Ling Li, Li-Fei Huang","doi":"10.13227/j.hjkx.202507315","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507315","url":null,"abstract":"<p><p>Focusing on 29 prefecture-level cities in the Central Plains Urban Agglomeration （CPUA）， this study employs the entropy-weighted TOPSIS method， a modified gravity model， social network analysis （SNA）， and spatial panel regression models to systematically examine the spatiotemporal evolution characteristics， spatial correlation network structure， and spillover effect mechanisms between urban renewal and ecological resilience from 2005 to 2023. The results reveal that： ① The comprehensive urban renewal index exhibited a \"stepwise growth\" trend， spatially forming a \"core-secondary-periphery\" structure with Zhengzhou as the core and Luoyang and Nanyang as secondary centers. Cities such as Xingtai and Shangqiu demonstrated notable late-mover advantages， while marginal cities in southern Shanxi and western Henan lagged behind. ② The mean ecological resilience increased from 0.41 to 0.45， yet spatial heterogeneity remained significant. Zhengzhou maintained an absolute lead （0.91）， whereas resource-dependent cities like Handan and Pingdingshan showed declining trends due to prolonged resource exploitation. Although Shangqiu improved its resilience through ecological restoration， its spillover effects remained limited. ③ The spatial correlation network between urban renewal and ecological resilience transitioned from a single-core polarized pattern to a multi-core networked structure， with network density at a relatively low level （0.2-0.3） and an overall \"dense east， sparse west\" distribution. Zhengzhou consistently served as the core node， exhibiting significantly higher degree centrality and betweenness centrality than those of other cities. The eastern plains formed tight linkages leveraging transportation advantages， while the western region displayed an \"isolated island chain\" structure due to topographic constraints. ④ Urban renewal exerted a significant positive local effect on ecological resilience but generated negative spillovers on neighboring areas. Additionally， industrial structure optimization positively influenced resilience with spatial spillovers， whereas urbanization may impose negative impacts on surrounding regions through ecological space compression. These findings provide theoretical and policy insights for optimizing regional eco-urban collaborative governance and promoting sustainable urban agglomeration development.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6291-6303"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Nitrate Sources and Key Transformation of River Water in a Piedmont Agricultural Area].","authors":"Hao-Yang Liu, Guo-Li Yang, Yin-Cai Xie, Wei Liu, Ya-Nan Du, Jun Li, Li-Shan Ma","doi":"10.13227/j.hjkx.202507061","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507061","url":null,"abstract":"<p><p>Water nitrate （NO₃^-） pollution is a pressing global environmental issue. Accurately identifying the diverse sources and quantifying the proportional contributions of NO₃^- in surface river water remains challenging， especially under complex hydrogeological conditions. This study investigated the surface river water in a typical piedmont agricultural area by integrating hydrochemistry， multiple isotopes （<i>δ</i>²H-H₂O， <i>δ</i>¹⁸O-H₂O， <i>δ</i>¹⁸O-NO₃^-， and <i>δ</i>¹⁵N-NO₃^-）， and dissolved organic carbon （DOC）， in combination with two quantitative models （i.e.， Bayesian stable isotope mixing， MixSIAR； positive matrix factorization， PMF）. It aimed to elucidate the distribution patterns， sources， contribution rates， and transformation processes of NO₃^- in river water. The results indicated that NO₃^- concentrations in the piedmont agricultural area [（35.6±12.5） mg·L^-1] were significantly higher than those in the middle and lower urban reaches [（1.12±1.16） mg·L^-1]， with nitrification identified as the primary process regulating NO₃^- levels. In urban river sections， the excretion by algae and aquatic plants led to the accumulation of DOC [（13.5±3.9） mg·L^-1]， which promoted the dissimilatory nitrate reduction to ammonium （DNRA） process， thereby inhibiting NO₃^- accumulation. Although there were some discrepancies between the quantitative results of the MixSIAR and PMF models， both models consistently indicated that the high NO₃^- concentrations in the piedmont agricultural river sections were primarily attributed to manure and sewage discharges （MixSIAR： 92.0%， PMF： 84.1%， contribution rate）. These findings provide targeted scientific support for the prevention and control of NO₃^- pollution in surface water within the study area， while also offering methodological references for other NO₃^--polluted regions worldwide with similar conditions.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6116-6125"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Evaluation of the Synergistic Effects of Air Pollutant and Carbon Emission Reduction Strategies in Xi'an's Road Traffic].","authors":"Ning Li, Yan-Zhao Hao, Jie Sheng, Ju-Xiao Zhang","doi":"10.13227/j.hjkx.202507075","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507075","url":null,"abstract":"<p><p>Based on the long-range energy alternative planning system （LEAP）， a carbon and pollutant emission model for Xi'an's road traffic from 2022 to 2050 was constructed， which incorporates both direct and indirect emissions. The model estimated the carbon and pollutant emission reductions under different scenario measures， and the synergistic emission reduction effects of each scenario were evaluated using the emission reduction elasticity coefficient （ELS） method. The scenario settings include seven single-measure scenarios， one comprehensive measure scenario （SA）， and an additional combined measure scenario （CS） specifically designed for the regulation of new energy vehicles. The results show that all single measures exhibited positive synergistic control effects. Among them， the co-benefit of CO₂e-PM_2.5 was the most significant， followed by that of CO₂e-CO. However， the intensity of CO₂e reduction was generally higher than that of NO<i>_x</i> and VOC. Specifically， the scenario of technology improvement for fuel vehicles （S6） had excellent pollution and carbon reduction capabilities； the scenario of low-carbon travel （S1） stood out in carbon reduction； the scenario of road-to-rail shift for freight transport （S2） significantly cut NO<i>_x</i> emissions； and the scenario of low vehicle saturation （S7） notably reduced VOC， PM_2.5， and CO emissions. Single measures for new energy vehicles have limited pollution and carbon reduction effects， and comprehensive management measures are needed to further unleash their emission reduction benefits. The CS scenario showed significant co-benefits for CO₂e-PM_2.5 and CO₂e-CO； its NO<i>_x</i> reduction effect was weaker than that of CO₂e， while its VOC reduction was stronger. The SA scenario demonstrated the most remarkable emission reduction potential， with annual CO₂e emissions decreasing by 1.22%； NO<i>_x</i> emissions ultimately reduced by nearly 50%； and VOC， PM_2.5， and CO emissions reduced by over 70%. Its ELS values generally fluctuated around 1， indicating that the scenario setting was reasonable， and synergistic control of carbon and pollution had been achieved. Additionally， the rebound of NO<i>_x</i> emissions in the later stage of the SA scenario highlights insufficient control over diesel trucks by existing measures. Future efforts should focus on in-depth emission reductions through multiple approaches like refined supervision， post-treatment technology improvement， and clean energy transition.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6038-6046"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Interactive Mechanism of Carbon Emission Efficiency and Emission Reduction Potential in Chinese Provincial Construction Industry].","authors":"Bin-Bin Xiong, Shui-Tai Xu, Si-Mei Xu, Jia-Qi Wen","doi":"10.13227/j.hjkx.202505017","DOIUrl":"https://doi.org/10.13227/j.hjkx.202505017","url":null,"abstract":"<p><p>As the second largest carbon emitter and a sector with significant potential for carbon reduction in China， the construction industry plays a pivotal role in achieving the country's \"dual carbon\" goals. This study adopts the non-discretionary output super-efficiency SBM model to evaluate the carbon emission efficiency （CEE） of China's construction industry from 2010 to 2021. From the dual perspective of \"fairness-efficiency，\" a carbon reduction potential index is developed to quantify the carbon reduction potential （CRP） of China's construction industry during the same period. The Dagum Gini coefficient and standard deviation ellipse are employed to analyze spatial disparities and shifts in the center of gravity of carbon reduction potential. Finally， the PVAR model is used to further investigate the interactive relationship between carbon emission efficiency and carbon reduction potential in the construction industry. The findings indicate that： ① The carbon emission efficiency of the construction industry exhibited an \"N\"-shaped decline， with a spatial differentiation pattern characterized by eastern > central > national > western regions. ② The carbon reduction potential of the construction industry initially followed an \"M\"-shaped decline and subsequently fluctuated downward， with a spatial differentiation pattern of eastern > national > western > central regions. Most provincial areas possessed substantial carbon reduction potential. ③ The Gini coefficient of carbon reduction potential in the national， central， and western regions generally showed an upward fluctuation trend， indicating increasing disparities； in the eastern region， it demonstrated an \"M\"-shaped decline， reflecting decreasing disparities. The primary source of differences transitioned from inter-regional disparities to super-density variation. ④ The center of gravity of the standard deviation ellipse primarily shifted southeastward， revealing an overall convergence trend and presenting a differentiated spatial structure in specific directions. The overall distribution direction evolved from \"northeast-southwest\" to \"southeast-northwest\" and then reverted to \"northeast-southwest.\" ⑤ A negative dynamic relationship existed between carbon emission efficiency and carbon reduction potential in the national and central regions， whereas in the eastern and western regions， it manifested as a one-way relationship.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"5974-5987"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Prediction of Global Warming Potential of Qilian Mountain Grassland Ecosystem Based on Ensemble Machine Learning].","authors":"Han-Ying Wang, Mei-Ling Zhang, Yan-Jun Gong, Jia-Fang Cai","doi":"10.13227/j.hjkx.202507231","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507231","url":null,"abstract":"<p><p>The Qilian Mountain grassland ecosystem serves as an important carbon reservoir， and accurate prediction of its global warming potential （GWP） is essential for climate-adaptive management. Based on multi-source data from 1980 to 2024， an ensemble machine learning model integrating XGBoost， LightGBM， CatBoost， and RF was developed to predict GWP dynamics under different climate scenarios during 2025-2060. The results indicate that： ① The ensemble machine learning model achieved the best performance， with a coefficient of determination （<i>R</i>²） of 0.938 and a root mean square error （RMSE） significantly lower than those of individual models， effectively capturing the complex nonlinear relationships of the grassland ecosystem. ② Soil clay and silt contents， together with grazing intensity， were identified as the key driving factors of GWP， among which grazing intensity exhibited a threshold effect. ③ Future scenario simulations suggest that under the SSP5-8.5 high-emission pathway， GWP shows a continuous upward trend with intensified interannual fluctuations， and the risk in high-grazing areas increases substantially， exceeding 42 g·（m²·a）^-1 by 2060， while under the SSP1-2.6 low-emission pathway， GWP remains relatively stable. In terms of spatial patterns， GWP demonstrates a \"higher in the southeast and lower in the northwest\" distribution， with the southeastern high-value areas expanding further under high-emission scenarios. These findings provide theoretical support and technical guidance for global warming risk assessment， ecosystem management zoning， and low-carbon pathway development in typical alpine grasslands.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6177-6187"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Analysis of Vegetation Dynamics Associated with Driving Factors in Major Basins of Yellow River].","authors":"Hao-Cheng Ke, Fei Wang, Mao-Lin Wang, Chen Yang, Meng-Han Tian","doi":"10.13227/j.hjkx.202506134","DOIUrl":"https://doi.org/10.13227/j.hjkx.202506134","url":null,"abstract":"<p><p>Vegetation dynamics serve as a dual indicator of climate and ecological changes. Quantifying the characteristics and drivers of vegetation dynamics at the regional scale is a key scientific issue for understanding how terrestrial ecosystems respond to climate change and human activities. Based on normalized difference vegetation index （NDVI） data from 2000 to 2022 across eight major basins of the Yellow River （YRB）， this study quantified the spatiotemporal dynamics of vegetation and， by integrating wavelet coherence analysis with Geodetector， provided a mechanistic disentanglement of how individual environmental drivers govern NDVI variability. The results show that： ① Over time， there was a stalky upward tendency in its change across all regions from 2000 to 2022 （<i>P</i><0.05）， and the spatial change rate was between 0.001 7-0.01 a^-1. It tended to increase from northwest to southeast at the spatial scale， with 71.08% of the total area showing significant improvement， mainly shifting to higher coverage levels. ② Integrating multiple change-point detection algorithms， we identified 2011 and 2017 as the two dominant breakpoints in the NDVI series. Ordinal clustering and the moving <i>T</i>-test proved the most robust for identifying abrupt shifts in both NDVI and meteorological variables in YRB. NDVI exhibited heterogeneous and lagged responses to precipitation and temperature， with precipitation exerting a markedly stronger control than temperature. ③ Climate factors （annual precipitation and sunshine duration） were primary drivers， while land-use types and elevation exerted localized synergistic effects. NDVI correlated negatively with sunshine duration （<i>P</i><0.05） but positively with precipitation and land-use intensity. These findings provide mechanistic insights for optimizing ecological conservation strategies in YRB.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6162-6176"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Driving Mechanism of Carbon Emissions in China's Agriculture and the Economic Decoupling Effect].","authors":"Nan Zhang, Yong-Ji Luan, Si-Yi Wang, Jing Tang","doi":"10.13227/j.hjkx.202504271","DOIUrl":"https://doi.org/10.13227/j.hjkx.202504271","url":null,"abstract":"<p><p>Agriculture is a significant sector of carbon emissions in China. Clarifying its emission characteristics and driving mechanisms is of great significance for promoting the green and low-carbon transformation of agriculture. Based on the panel data of 31 provincial regions across the country from 2011 to 2022， this study uses the IPCC emission coefficient method to calculate the total amount and intensity of agricultural carbon emissions， revealing their spatio-temporal evolution characteristics. Research findings indicate that the overall carbon emissions from agriculture across the country have shown a fluctuating upward trend. The total emissions from the eastern and central regions accounted for nearly 60%， while the overall carbon emission intensity decreased by 55.16%， suggesting a continuous improvement in agricultural carbon efficiency. The LMDI decomposition model was further adopted to quantify the contributions of factors such as agricultural production efficiency， economic development level， and industrial structure to the changes in carbon emissions. The random forest and SHAP methods were introduced to identify the nonlinear importance of the driving factors. The results showed that economic development level， fertilizer input， and total power of agricultural machinery were the main driving factors. The Tapio model analysis showed that since 2015， the relationship between agricultural carbon emissions and economic growth in China gradually shifted from weak decoupling to strong decoupling， but the decoupling status varied significantly among regions. The research suggests that efforts should be made to optimize the agricultural input structure and promote green technologies in a way that suits local conditions and strengthen multi-dimensional monitoring and differentiated emission reduction policies so as to accelerate the low-carbon transformation process of agriculture.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"5936-5949"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Analysis of the Occurrence Characteristics of Per- and Polyfluoroalkyl Substances in the Middle-Lower Yangtze River].","authors":"Ding-Kun Lu, Ling-Yu Zeng, Chang-Shun Chen, You-Cheng Wen, Ke Zhou, Guo-Chao Xie, Wan-Ying Zhai","doi":"10.13227/j.hjkx.202507140","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507140","url":null,"abstract":"<p><p>Since 2022， the \"Action Plan for the Control of Emerging Pollutants\" and the \"List of Key Control Emerging Pollutants （2023 Edition）\" have been issued， which have put forward new requirements for the control of PFASs. Monitoring was conducted for 22 PFASs in April and October of 2022 and 2023. In this work， ∑PFASs concentrations ranged from 10.3 to 280.9 ng·L^-1， with an average concentration of 65.5 ng·L^-1. Short-chain PFASs （C4-C6） were detected more frequently compared to long-chain PFASs （C7-C18）. The detected concentrations of key controlled emerging pollutants such as PFOS and PFOA have decreased. In 2022， extreme concentrations of ∑PFASs were observed in specific sections along the Yangtze River， including Yueyang， Jiujiang， Zhenjiang， Taizhou， Nantong， and Suzhou. In 2023， the ∑PFASs concentrations in the main stream exhibited an increasing trend from the middle to the lower reaches， and extreme concentrations had disappeared. The changes were related to the sewage discharge volume， water flow rate， PFASs control policies， and the widespread use of PFASs substitutes in various provinces. These results indicate that， under new policies， provinces or municipalities along the middle-lower Yangtze River have achieved significant progress in controlling PFASs.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6093-6103"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}